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link to other APIs (#715)

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@ -11,10 +11,12 @@ brought to you by Apple machine learning research.
Some key features of MLX include:
- **Familiar APIs**: MLX has a Python API that closely follows NumPy.
MLX also has a fully featured C++ API, which closely mirrors the Python API.
MLX has higher-level packages like `mlx.nn` and `mlx.optimizers` with APIs
that closely follow PyTorch to simplify building more complex models.
- **Familiar APIs**: MLX has a Python API that closely follows NumPy. MLX
also has fully featured C++, [C](https://github.com/ml-explore/mlx-c), and
[Swift](https://github.com/ml-explore/mlx-swift/) APIs, which closely mirror
the Python API. MLX has higher-level packages like `mlx.nn` and
`mlx.optimizers` with APIs that closely follow PyTorch to simplify building
more complex models.
- **Composable function transformations**: MLX supports composable function
transformations for automatic differentiation, automatic vectorization,